Master of Science: Civil Engineering (Minor: Statistics) 2013 University College London London, UK

Won Best Graduate Design Project

Bachelor of Science: Civil Engineering 2012

University of Nottingham Nottingham, UK

Head's Scholarship Recipient (2010)

Dean's Scholarship Recipient (2009)

Notable Projects

Machine Learning Project

Analyzed existing user ratings for movies based on Netflix data using MATLAB to predict ratings of unreviewed or unwatched movies.

Used K-means clustering and stochastic gradient descent algorithms to predict missing ratings. Developed movie recommendations based on high-predicted ratings and placed movies with low ratings on “do not recommend” list.

Regression Project

Developed regression model for TV station sales price using R programming to explain effect of variables on capitalized value of TV stations.

Performed regression analysis on market retail sales, market buying income, TV homes, network hourly rate, advertising hourly rate, percent of market population in urban areas, age of station, and number of affiliations with major networks.

Work History

Machine Learning Intern 07/2016 to 09/2016

Toyota Technological Institute Chicago, IL

Applied K-means clustering and logistic regression to bioinformatics data, splitting data into training and testing data to compare accuracy and running time of algorithms. Data Analyst Intern 06/2015 to 08/2015